Identify if green beans are moldy
using AI
Below is a free classifier to identify if green beans are moldy. Just upload your image, and our AI will predict if green beans are moldy - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-green-beans-are-moldy", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-green-beans-are-moldy/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/if-green-beans-are-moldy/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if green beans are moldy.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including Fresh Green Beans and Moldy Green Beans.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if green beans are moldy).
Whether you're just curious or building if green beans are moldy detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify if green beans are moldy at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Quality Control in Food Production: This function can be integrated into the quality inspection process in food manufacturing facilities to automatically identify moldy green beans. This ensures that only high-quality produce is packaged and shipped, reducing waste and increasing customer satisfaction.
- Supply Chain Management: Retailers can utilize the identifier to assess the quality of green beans during the receiving process. By identifying spoilage early, businesses can manage inventory more effectively and reduce losses caused by selling moldy products.
- Agricultural Harvest Monitoring: Farmers can implement the identification technology in the field to monitor the health of green bean crops. This allows for timely interventions, such as adjusting storage conditions or applying treatments, to prevent mold growth and ensure optimal yield.
- Automated Packing Facilities: In packaging facilities, the identifier can be used to sort and remove moldy green beans from pristine batches. This automation reduces the reliance on manual labor and minimizes the risk of human error, leading to a more efficient operation.
- Food Safety Compliance: This function can assist food safety regulators in monitoring and enforcing standards related to produce quality. By identifying moldy green beans, regulatory officials can take necessary actions to ensure compliance with health regulations and protect public health.
- Customer Service Enhancement: Supermarkets can deploy this technology in self-service areas where customers pick their own produce. It can provide immediate feedback to customers about the quality of green beans, ensuring they are aware of any mold issues before purchase.
- Research and Development in Food Technology: Researchers can use the identifier in studies focused on the shelf life and storage conditions of green beans. By determining how environmental factors affect mold growth, businesses can innovate better preservation methods to extend the freshness of their products.